Senior Data Engineer
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Job Description
5+ years of experience designing, developing, validating, and automating ETL processes
3+ years of experience traditional ETL tools such as Visual Studio, SQL Server Management Studio, SSIS, SSAS and SSRS
2+ years of experience with cloud technologies and platforms, such as: Kubernetes, Spark, Kafka, Azure Data Factory, Snowflake, ML Flow, Databricks, Airflow or similar
Must have experience with designing and implementing data access layers
Must be an expert with SQL/T-SQL and Python
Must have experience in Kafka
Define and implement data models with various database technologies like MongoDB, CosmosDB, Neo4j, MariaDB and SQL Serve
Ingest and publish data from sources and to destinations via an API
Exposure to ETL/ELT with using Kafka or Azure Event Hubs with Spark or Databricks is a plus
Exposure to healthcare technologies and integrations for FHIR API, HL7 or other HIE protocols is a plus
Designation
Senior Data Engineer
Key Skills
Industry
IT-ITeS
Functional Area
IT Services
Employment Type
Full Time
Education
Bachelor Degree
Job Type
Hybrid
Assessment Details
Information and Communication Technology (ICT) Technician Quiz
30 Minutes
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